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Computer Science undergraduate, passionate about all things programming.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
dockersensei
April 26, 2025 – May 11, 2025
DockerSensei is a robust platform designed to manage Docker containers with fine-grained access control.
View Projectroomba-simulation
February 18, 2025 – April 10, 2025
roomba-simulation — GitHub repository
View Projectvocab-fuzzy-search
August 30, 2024 – October 7, 2024
A simple website to search through the GRE vocab words
View Projectproject-mirage
January 28, 2024 – May 13, 2024
A collaborative repository where developers from GDSC MPSTME create a web application without direct communication, unveiling the unpredictable essence of teamwork and innovation.
View Projecttableau-embedding
June 4, 2023 – June 14, 2023
Tableau Embedding app built for the DataDev Spring 2023 hackathon.
View Projectgrowing-together
March 17, 2023 – November 30, 2024
An app addressing UN SDG - Good Health and Well-Being by reducing child mortality and supporting single parents with reliable parenting resources.
View Projectredwood-tutorial-ts
July 9, 2022 – October 16, 2022
The state of the app at the interval in the RedwoodJS tutorial - in TypeScript.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse range of personal projects, from web applications to simulations and hackathon entries. This indicates a proactive and curious individual. The 'Computer Science Lecturer' target role requires strong foundational knowledge and the ability to articulate complex concepts. While the project diversity is good, the lack of formal education or professional experience makes it difficult to assess direct alignment with a lecturing role. The projects lean heavily towards front-end and web development, which might not cover the full breadth of computer science topics expected for a lecturer.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate an interest in collaborative work ('project-mirage') and addressing real-world problems ('growing-together'), but no direct evidence of communication, teamwork, or problem-solving skills in a professional context is provided.